Developing a hybrid analytics approach to measure the efficiency of deposit banks

H. Dincer, Umit Hacioglu, E. Tatoglu, Dursun Delen

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

This study aims at analyzing the efficiency of deposit banks using contemporary analytics-based decision-making techniques within a fuzzy environment. Specifically, a hybrid analytic model drawing on a fuzzy analytical network process and data envelopment analysis was developed and applied to the assessment of Turkish deposit banks quoted on Borsa Istanbul. The findings revealed that; (i) the efficiency results for banking activity vary for competitiveness and for the adoption of new technologies before and after the financial recession; (ii) the majority of deposit banks operating primarily with non-interest based factors found to be less-efficient; (iii) the ownership and capital structure of banks do not significantly contribute to their banking performance, as they were technically inefficient during the same period; and (iv) the inputs of the banking activities could be reduced while a constant level of output is maintained by adopting and properly using the most efficient technology to boost the technical efficiency.

Original languageEnglish
Pages (from-to)131-145
Number of pages15
JournalJournal of Business Research
Volume104
DOIs
StatePublished - 1 Nov 2019
Externally publishedYes

Keywords

  • Banking performance
  • Borsa Istanbul
  • Data envelopment analysis
  • Efficiency
  • Emerging markets
  • Fuzzy analytic network process

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